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Record W2794669970

Repetitive Transcranial Magnetic Stimulation (RTMS) as a Treatment for Post-concussion Syndrome

2017· article· en· W2794669970 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCMBES Proceedings · 2017
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsRiverview HospitalUniversity of Manitoba
Fundersnot available
KeywordsRivermead post-concussion symptoms questionnairePost-concussion syndromeTranscranial magnetic stimulationConcussionDepression (economics)MedicinePhysical medicine and rehabilitationDorsolateral prefrontal cortexPhysical therapyPsychologyTraumatic brain injuryCognitionPsychiatryPrefrontal cortexStimulationPoison controlInternal medicineInjury prevention
DOInot available

Abstract

fetched live from OpenAlex

As part of an ongoing study, a small group of volunteers with post-concussion syndrome (PCS) were given either real or sham rTMS treatment. Thirteen treatment sessions over three weeks applied 20 Hz rTMS to the left dorsolateral prefrontal cortex. Assessments to determine cognitive ability, memory, depression symptoms, and PCS symptom burden were done before and after treatment, and twice following up at one and two months post-treatment. Significant improvements were found at two months post-treatment in the measurement of symptom burden using the Rivermead Post Concussion Symptoms Questionnaire. This result suggests that rTMS may be an effective treatment for some of the symptoms of post-concussion syndrome.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.316
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it